Senior Manager Data Engineering

Caring. Connecting. Growing together.

We are seeking a Senior Platform Engineer to architect, build, and manage enterprise-scale data platforms that power advanced analytics and AI initiatives. This role blends cloud engineering, DevOps automation, and data platform administration to deliver secure, scalable, and cost-efficient solutions across Azure and AWS environments.

You will lead efforts to optimize Databricks and Snowflake platforms, enforce governance and compliance, and implement automation that accelerates delivery and improves reliability.

Primary Responsibilities:

• Platform Engineering & Administration
  • Architect and manage Databricks and Snowflake environments on Azure, including workspace setup, cluster policies, user access, and cost governance
  • Perform advanced DBA tasks: performance tuning, storage optimization, compute resource management
  • Monitor platform health and proactively resolve issues across multi-cloud environments
  • Integrate data platforms with other cloud services and enterprise systems
• Platform DevOps & Automation
  • Lead Infrastructure-as-Code (IaC) development using Terraform, ARM templates, or CloudFormation
  • Build and maintain CI/CD pipelines for platform components using Azure DevOps, GitHub Actions, or Jenkins
  • Automate operational tasks: user onboarding, job orchestration, resource scaling, and alerting
  • Develop reusable tools and scripts in Python, PowerShell, or Bash
  • Implement monitoring and observability solutions using Azure Monitor, Datadog, or Prometheus/Grafana
• Security, Governance & Compliance
  • Enforce enterprise security policies, RBAC, and audit logging across platforms
  • Collaborate with governance teams to implement data cataloging, lineage tracking, and classification
  • Ensure compliance with GDPR, HIPAA, SOC2, and internal standards
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's in Computer Science, Information Systems, or related field (Master's preferred)
• 15+ years in data platform engineering and DevOps
• 8+ years combined experience in Databricks and Snowflake
• Proven experience in automation, cloud-native architecture, and enterprise-scale data operations
• Deep expertise in Databricks, Snowflake, and Azure
• Solid understanding of data governance, compliance, and security frameworks
• Proven excellent problem-solving, communication, and leadership skills

Preferred Qualifications:

• Certifications in Azure, Databricks, or Snowflake
• Experience with containerization (Docker/Kubernetes)
• Familiarity with AWS and hybrid cloud architectures

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